Vincere → Yellowfin
AI-first ETL from Vincere into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Vincere into Yellowfin
Datrise syncs Vincere's contacts, accounts, deals, activities, and lifecycle events into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Vincere: Recruiting CRM/ATS for candidates, pipelines, and placements.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Vincere entities map to Yellowfin
| Vincere entity | Yellowfin object | Notes |
|---|---|---|
| contacts | vincere_contacts | id PK · custom fields → flattened columns |
| accounts | vincere_accounts | id PK · linked to vincere_contacts |
| deals | vincere_deals | id PK · linked to vincere_contacts |
| activities | vincere_activities | date/time dimensions events |
FAQ
How does Datrise handle Vincere's custom fields in Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Vincere to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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